code: def linspace(
      start: Union[np.ndarray, float],
      stop: Union[np.ndarray, float],
      /,
      num: int,
      *,
      axis: Optional[int] = None,
      endpoint: bool = True,
      dtype: np.dtype,
      device: Optional[str] = None,
      out: Optional[np.ndarray] = None,
  ) -> np.ndarray:
      if axis is None:
          axis = -1
      ans = np.linspace(
          start, stop, num, endpoint, dtype=dtype, axis=axis
      )
      # Waiting for fix when start is -0.0: https://github.com/numpy/numpy/issues/21513
      if (
          ans.shape[0] >= 1
          and (not isinstance(start, np.ndarray))
          and (not isinstance(stop, np.ndarray))
      ):
          ans[0] = start
      return ans
  
imports: from numbers import Number
  from typing import Union, Optional, List, Sequence, Tuple
  import numpy
  import ivy
  from ivy.functional.ivy.creation import _asarray_to_native_arrays_and_back, _asarray_infer_device, _asarray_infer_dtype, _asarray_handle_nestable, NestedSequence, SupportsBufferProtocol, _asarray_inputs_to_native_shapes
  from .data_type import as_native_dtype
label_desc: Use image node_id 10 for calling a global function with example usage: linspace(num) and returns: ans